Abstract: In this paper we propose a human emotion recognition system using Hidden Markov Model. Detection of heart rate and emotion of the face is quiet a challenging tasks. In this paper, we proposed the technique that perform recognize the specific facial emotion i.e. anxiety by utilizing Hidden Markov Model. Utilization of this proposed technique is to enhancing the monitoring framework in medical field, by analysis and rendering the patient face. The proposed HMM models performs well with the video as it processes the spatial and temporal regions of videos. The outcome of the project is the heart rate and reddishness scale. The more is the reddishness of face the more is changes that the person is speaking lie.
Keywords: Heart Rate Measurement, Machine Learning, Video Processing, Region of Interest, HMM.
Title: Markov Model Based Human Face Reddishness and Heart Rate Measurement Framework
Author: Bhawna Dwivedi, Asst. Prof. Pooja Patre
International Journal of Interdisciplinary Research and Innovations
ISSN 2348-1218 (print), ISSN 2348-1226 (online)
Research Publish Journals
